Improving the Efficiency of Fuel Combustion with the Use of Various Designs of Embrasures

Fedorov, Ruslan V.; Generalov, Dmitry A.; Sherkunov, Vyacheslav V.; Sapunov, Valeriy V.; Busygin, Sergey V.

doi:10.3390/en16114452

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2024

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Cited by 3 publications

References 25 publications

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Selecting a Machine Learning Model to Optimize the Burner Digital Twin

Kovalnogov,

Generalov,

Fedorov

et al. 2023

Lecture Notes in Networks and Systems

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Selecting a Machine Learning Model to Optimize the Burner Digital Twin

Kovalnogov,

Generalov,

Fedorov

et al. 2023

Lecture Notes in Networks and Systems

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Application of Gradient Boosting and Digital Simulation for Burner Optimization

Fedorov,

Sherkunov,

Generalov

et al. 2023

2023 International Conference on Modeling, Simulation &Amp;amp; Intelligent Computing (MoSICom)

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Bibliometric Analysis of the Modelling of LowQuality Biomass Pellets Combustion

Svedovs,

Dzikevics,

Kirsanovs

et al. 2024

Environmental and Climate Technologies

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Diversification of energy resources is a current objective that several countries want to achieve, including in northern Europe. Demand for wood fuels is increasing in Latvia, which is reflected in consumer expenditure. Using low-quality biomass (LQB) to produce fuel pellets for market stabilisation and diversification is possible. LQB pellets can theoretically and practically be used in low-capacity solid fuel boilers to provide different types of individual heating systems with an alternative energy source. Before starting mass production of LQB fuel pellets, it is necessary to clarify the properties of the raw materials. Any fuel study shall be divided into two phases: determination of the parameters of the fuel or raw material (calorific values, moisture content, and ash content) and analysis of the combustion process. The combustion process can be studied in two ways: experimentally and by mathematical modelling. Knowing the parameters that would need to be clarified during the study of the LQB fuel pellets combustion process (thermodynamics, gaseous emissions, particulate matter emissions, bottom ash, and slag), the authors have set the goal of clarifying the software applied to mathematical modelling of these parameters. A bibliometric analysis method was chosen to identify the software. The bibliometric analysis was carried out in the Scopus database. As a result, two software were identified: ANSYS Fluent software is suitable for modelling thermodynamic processes and gaseous emission streams. At the same time, XDEM software is the most suitable for modelling particle streams and ash/slag generation. This software will be used in future studies.

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Improving the Efficiency of Fuel Combustion with the Use of Various Designs of Embrasures

Cited by 3 publications

References 25 publications

Selecting a Machine Learning Model to Optimize the Burner Digital Twin

Selecting a Machine Learning Model to Optimize the Burner Digital Twin

Application of Gradient Boosting and Digital Simulation for Burner Optimization

Bibliometric Analysis of the Modelling of LowQuality Biomass Pellets Combustion

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